AIMC Topic: Biometric Identification

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HOReID: Deep High-Order Mapping Enhances Pose Alignment for Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 12, 2021
Despite the remarkable progress in recent years, person Re-Identification (ReID) approaches frequently fail in cases where the semantic body parts are misaligned between the detected human boxes. To mitigate such cases, we propose a novel High-Order ...
Semantics Humans Biometric Identification Deep Learning Image Processing, Computer-Assisted Posture Algorithms Databases, Factual
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Complementary Pseudo Labels for Unsupervised Domain Adaptation On Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 12, 2021
In recent years, supervised person re-identification (re-ID) models have received increasing studies. However, these models trained on the source domain always suffer dramatic performance drop when tested on an unseen domain. Existing methods are pri...
Databases, Factual Image Processing, Computer-Assisted Pedestrians Biometric Identification Unsupervised Machine Learning Humans Algorithms
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Giant Panda Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 12, 2021
The lack of automatic tools to identify giant panda makes it hard to keep track of and manage giant pandas in wildlife conservation missions. In this paper, we introduce a new Giant Panda Identification (GPID) task, which aims to identify each indivi...
Pattern Recognition, Automated Animals Biometric Identification Ursidae Image Processing, Computer-Assisted Machine Learning Video Recording Algorithms
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Condition-Aware Comparison Scheme for Gait Recognition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 12, 2021
As an important and challenging problem, gait recognition has gained considerable attention. It suffers from confounding conditions, that is, it is sensitive to camera views, dressing types and so on. Interestingly, it is observed that, under differe...
Humans Machine Learning Algorithms Gait Biometric Identification Male Image Processing, Computer-Assisted Databases, Factual Female
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Deep Coattention-Based Comparator for Relative Representation Learning in Person Re-Identification.

IEEE transactions on neural networks and learning systems Feb 4, 2021
Person re-identification (re-ID) favors discriminative representations over unseen shots to recognize identities in disjoint camera views. Effective methods are developed via pair-wise similarity learning to detect a fixed set of region features, whi...
Databases, Factual Reproducibility of Results Deep Learning Software Algorithms Neural Networks, Computer Image Processing, Computer-Assisted Artificial Intelligence Attention Benchmarking Humans Automated Facial Recognition Biometric Identification
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An End-to-End Foreground-Aware Network for Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jan 21, 2021
Person re-identification is a crucial task of identifying pedestrians of interest across multiple surveillance camera views. For person re-identification, a pedestrian is usually represented with features extracted from a rectangular image region tha...
Biometric Identification Pedestrians Video Recording Algorithms Image Processing, Computer-Assisted Humans Machine Learning
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Bidirectional Interaction Network for Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jan 20, 2021
Person re-identification (ReID) task aims to retrieve the same person across multiple spatially disjoint camera views. Due to huge image changes caused by various factors such as posture variation and illumination transformation, images of different ...
Biometric Identification Humans Databases, Factual Image Processing, Computer-Assisted Neural Networks, Computer
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Multi-Domain Adversarial Feature Generalization for Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jan 11, 2021
With the assistance of sophisticated training methods applied to single labeled datasets, the performance of fully-supervised person re-identification (Person Re-ID) has been improved significantly in recent years. However, these models trained on a ...
Machine Learning Algorithms Image Processing, Computer-Assisted Humans Video Recording Biometric Identification
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Joint Person Objectness and Repulsion for Person Search.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Dec 4, 2020
Person search targets to search the probe person from the unconstrainted scene images, which can be treated as the combination of person detection and person matching. However, the existing methods based on the Detection-Matching framework ignore the...
Biometric Identification Neural Networks, Computer Humans Video Recording Image Processing, Computer-Assisted Pattern Recognition, Automated
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Identifications and classifications of human locomotion using Rayleigh-enhanced distributed fiber acoustic sensors with deep neural networks.

Scientific reports Dec 3, 2020
This paper reports on the use of machine learning to delineate data harnessed by fiber-optic distributed acoustic sensors (DAS) using fiber with enhanced Rayleigh backscattering to recognize vibration events induced by human locomotion. The DAS used ...
Locomotion Fiber Optic Technology Humans Biometric Identification Acoustics Machine Learning
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